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Author*The author of this computation has been verified*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationSun, 15 Nov 2009 07:35:07 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/15/t1258295806rpuwwhuy4a0ew33.htm/, Retrieved Fri, 03 May 2024 13:08:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57293, Retrieved Fri, 03 May 2024 13:08:37 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Tukey lambda PPCC Plot] [3/11/2009] [2009-11-02 22:14:51] [b98453cac15ba1066b407e146608df68]
-   PD  [Tukey lambda PPCC Plot] [Workshop 6] [2009-11-09 11:24:32] [3e19a07d230ba260a720e0e03e0f40f2]
-   PD      [Tukey lambda PPCC Plot] [WS6] [2009-11-15 14:35:07] [48076ccf082563ab8a2c81e57fdb5364] [Current]
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Dataseries X:
745,52
1962,64
2092,88
2034,73
568,28
1482,67
1282,26
1534,16
1621,42
1465,32
1373,15
1386,28
756,10
1359,02
1600,69
1299,97
161,31
622,74
552,60
570,36
806,43
1212,24
1806,54
1433,47
543,97
1453,00
1795,89
1608,99
484,29
1541,01
1094,14
1412,93
1612,35
1309,29
1626,17
874,45
794,25
1416,23
1575,25
1255,68
-787,86
1038,52
934,94
581,78
1069,98
1104,77
1152,28
880,48
169,49
953,93
1009,01
297,91
259,98
1164,90
924,60
840,77
1042,04
1026,08
637,53
1338,82




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57293&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57293&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57293&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.756868665357249
Exact Logistic (lambda=0)0.981334265070752
Approx. Normal (lambda=0.14)0.979832280509413
U-shaped (lambda=0.5)0.966899168868268
Exactly Uniform (lambda=1)0.953172554088523

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.756868665357249 \tabularnewline
Exact Logistic (lambda=0) & 0.981334265070752 \tabularnewline
Approx. Normal (lambda=0.14) & 0.979832280509413 \tabularnewline
U-shaped (lambda=0.5) & 0.966899168868268 \tabularnewline
Exactly Uniform (lambda=1) & 0.953172554088523 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57293&T=1

[TABLE]
[ROW][C]Tukey Lambda - Key Values[/C][/ROW]
[ROW][C]Distribution (lambda)[/C][C]Correlation[/C][/ROW]
[ROW][C]Approx. Cauchy (lambda=-1)[/C][C]0.756868665357249[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.981334265070752[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.979832280509413[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.966899168868268[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.953172554088523[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57293&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57293&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.756868665357249
Exact Logistic (lambda=0)0.981334265070752
Approx. Normal (lambda=0.14)0.979832280509413
U-shaped (lambda=0.5)0.966899168868268
Exactly Uniform (lambda=1)0.953172554088523



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
gp <- function(lambda, p)
{
(p^lambda-(1-p)^lambda)/lambda
}
sortx <- sort(x)
c <- array(NA,dim=c(201))
for (i in 1:201)
{
if (i != 101) c[i] <- cor(gp(ppoints(x), lambda=(i-101)/100),sortx)
}
bitmap(file='test1.png')
plot((-100:100)/100,c[1:201],xlab='lambda',ylab='correlation',main='PPCC Plot - Tukey lambda')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Lambda - Key Values',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Distribution (lambda)',1,TRUE)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Approx. Cauchy (lambda=-1)',header=TRUE)
a<-table.element(a,c[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exact Logistic (lambda=0)',header=TRUE)
a<-table.element(a,(c[100]+c[102])/2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Approx. Normal (lambda=0.14)',header=TRUE)
a<-table.element(a,c[115])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'U-shaped (lambda=0.5)',header=TRUE)
a<-table.element(a,c[151])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exactly Uniform (lambda=1)',header=TRUE)
a<-table.element(a,c[201])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')